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Improving Clinical Registry Data Quality via Linkage With Survival Data From State-Based Population Registries.
Smith, Samuel; Drummond, Kate; Dowling, Anthony; Bennett, Iwan; Campbell, David; Freilich, Ronnie; Phillips, Claire; Ahern, Elizabeth; Reeves, Simone; Campbell, Robert; Collins, Ian M; Johns, Julie; Dumas, Megan; Hong, Wei; Gibbs, Peter; Gately, Lucy.
Afiliação
  • Smith S; Systems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
  • Drummond K; Department of Medical Oncology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.
  • Dowling A; University of Melbourne, Parkville, VIC, Australia.
  • Bennett I; Department of Neurosurgery, Royal Melbourne Hospital, Parkville, VIC, Australia.
  • Campbell D; Department of Medical Oncology, St Vincent's Hospital Melbourne, Fitzroy, VIC, Australia.
  • Freilich R; University of Melbourne, Parkville, VIC, Australia.
  • Phillips C; Department of Neurosurgery, Alfred Health, Prahran, VIC, Australia.
  • Ahern E; Department of Medical Oncology, Barwon Health, Geelong, VIC, Australia.
  • Reeves S; Department of Neurology, Cabrini Hospital, Malvern, VIC, Australia.
  • Campbell R; Department of Radiation Oncology, Peter MacCallum Cancer Centre, Parkville, VIC, Australia.
  • Collins IM; Department of Medical Oncology, Monash Health, Clayton, VIC, Australia.
  • Johns J; Department of Radiation Oncology, Ballarat Austin Radiation Oncology Centre, Ballarat, VIC, Australia.
  • Dumas M; Department of Medical Oncology, Bendigo Health, Bendigo, VIC, Australia.
  • Hong W; Department of Medical Oncology, South West Oncology, Warnambool, VIC, Australia.
  • Gibbs P; Systems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
  • Gately L; Systems Biology and Personalised Medicine Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
JCO Clin Cancer Inform ; 8: e2400025, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38924710
ABSTRACT

PURPOSE:

Real-world data (RWD) collected on patients treated as part of routine clinical care form the basis of cancer clinical registries. Capturing accurate death data can be challenging, with inaccurate survival data potentially compromising the integrity of registry-based research. Here, we explore the utility of data linkage (DL) to state-based registries to enhance the capture of survival outcomes.

METHODS:

We identified consecutive adult patients with brain tumors treated in the state of Victoria from the Brain Tumour Registry Australia Innovation and Translation (BRAIN) database, who had no recorded date of death and no follow-up within the last 6 months. Full name and date of birth were used to match patients in the BRAIN registry with those in the Victorian Births, Deaths and Marriages (BDM) registry. Overall survival (OS) outcomes were compared pre- and post-DL.

RESULTS:

Of the 7,346 clinical registry patients, 5,462 (74%) had no date of death and no follow-up recorded within the last 6 months. Of the 5,462 patients, 1,588 (29%) were matched with a date of death in BDM. Factors associated with an increased number of matches were poor prognosis tumors, older age, and social disadvantage. OS was significantly overestimated pre-DL compared with post-DL for the entire cohort (pre- v post-DL hazard ratio, 1.43; P < .001; median, 29.9 months v 16.7 months) and for most individual tumor types. This finding was present independent of the tumor prognosis.

CONCLUSION:

As revealed by linkage with BDM, a high proportion of patients in a brain cancer clinical registry had missing death data, contributed to by informative censoring, inflating OS calculations. DL to pertinent registries on an ongoing basis should be considered to ensure accurate reporting of survival data and interpretation of RWD outcomes.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistema de Registros / Confiabilidade dos Dados Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistema de Registros / Confiabilidade dos Dados Idioma: En Ano de publicação: 2024 Tipo de documento: Article